
September Cover Story by Caitlin Dickerson Exposes Secret History of Trump Administration's Family-Separation Policy
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-20% Somewhat Left
- Politician Portrayal
-19% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates.
Bias Score Analysis
The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
Sentiments
N/A
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative

Contributing sentiments towards policy:
51% : Dickerson reports that the deputy suggested that the Border Patrol deliver separated children from DHS to HHS at an accelerated pace, to minimize the chance that they would be returned to their parents.46% : Within days of the start of Zero Tolerance, a deputy at ICE expressed concern that if the parents' prosecutions happened too swiftly, their children would still be waiting to be picked up by HHS in Border Patrol stations, making family reunification possible.
43% : White's efforts were ignored by members of agency leadership, including his politically appointed boss, Scott Lloyd, who now say they were predisposed to believe those in law enforcement who claimed that families were not being separated, or who were simply not paying attention to the agency's immigration portfolio because they were focused on other issues.
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.